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process Applications will be reviewed on a rolling basis until the position is filled. Additional comments Project Overview Cells sense, integrate, and respond to dynamic stimuli through complex signaling
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perturbed. We will use complex networks to represent interactions within the climate system and to study its behaviour during tipping phases. Simulation outputs will guide the application of network
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complexity of in vivo patient tumors. This project aims to overcome that limitation by extending our high-throughput metabolic fingerprinting platform into 3D cancer models such as spheroids and organoids. By
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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology
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analysis of complex clinical samples. Coordinate and perform large-scale metabolomics profiling in lung tumor specimens. Apply and develop model-based and statistical approaches to analyze and interpret
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The University of Basel, with over 13,000 students, 6 faculties, and more than 6,000 staff members across multiple departments, is a dynamic and complex organization. Change management is a core
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challenges and drive the transition to a net-zero and circular economy. Project background We are seeking a Senior Project Manager to lead two projects, each at a 40-50% level of engagement. KTT Expert
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, reliability, and availability of complex industrial systems while making maintenance strategies more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance
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develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent